| 2025 | AAAI | Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks. | Bao Gia Doan, Afshar Shamsi, Xiao-Yu Guo, Arash Mohammadi, Hamid Alinejad-Rokny, Dino Sejdinovic, Damien Teney, Damith C. Ranasinghe, Ehsan Abbasnejad |
| 2025 | AISTATS | Credal Two-Sample Tests of Epistemic Uncertainty. | Siu Lun Chau, Antonin Schrab, Arthur Gretton, Dino Sejdinovic, Krikamol Muandet |
| 2025 | UAI | Label Distribution Learning using the Squared Neural Family on the Probability Simplex. | Daokun Zhang, Russell Tsuchida, Dino Sejdinovic |
| 2024 | AAAI | Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families. | Russell Tsuchida, Cheng Soon Ong, Dino Sejdinovic |
| 2024 | ICML | Neural-Kernel Conditional Mean Embeddings. | Eiki Shimizu, Kenji Fukumizu, Dino Sejdinovic |
| 2023 | ICML | Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge. | Shahine Bouabid, Jake Fawkes, Dino Sejdinovic |
| 2022 | AISTATS | Learning Inconsistent Preferences with Gaussian Processes. | Siu Lun Chau, Javier Gonzlez, Dino Sejdinovic |
| 2022 | AISTATS | Survival regression with proper scoring rules and monotonic neural networks. | David Rindt, Robert Hu, David Steinsaltz, Dino Sejdinovic |
| 2021 | AAAI | Meta Learning for Causal Direction. | Jean-Franois Ton, Dino Sejdinovic, Kenji Fukumizu |
| 2021 | AISTATS | Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings. | Jean-Francois Ton, Lucian Chan, Yee Whye Teh, Dino Sejdinovic |
| 2021 | UAI | Variational inference with continuously-indexed normalizing flows. | Anthony L. Caterini, Robert Cornish, Dino Sejdinovic, Arnaud Doucet |
| 2020 | ICML | Inter-domain Deep Gaussian Processes. | Tim G. J. Rudner, Dino Sejdinovic, Yarin Gal |
| 2019 | ICML | Towards a Unified Analysis of Random Fourier Features. | Zhu Li, Jean-Francois Ton, Dino Oglic, Dino Sejdinovic |
| 2018 | AISTATS | Bayesian Approaches to Distribution Regression. | Ho Chung Leon Law, Danica J. Sutherland, Dino Sejdinovic, Seth R. Flaxman |
| 2017 | AISTATS | Poisson intensity estimation with reproducing kernels. | Seth R. Flaxman, Yee Whye Teh, Dino Sejdinovic |
| 2017 | ICLR | Deep Kernel Machines via the Kernel Reparametrization Trick. | Jovana Mitrovic, Dino Sejdinovic, Yee Whye Teh |
| 2017 | UAI | Feature-to-Feature Regression for a Two-Step Conditional Independence Test. | Qinyi Zhang, Sarah Filippi, Seth R. Flaxman, Dino Sejdinovic |
| 2016 | AISTATS | K2-ABC: Approximate Bayesian Computation with Kernel Embeddings. | Mijung Park, Wittawat Jitkrittum, Dino Sejdinovic |
| 2016 | ICIP | Hyperspectral image classification with support vector machines on kernel distribution embeddings. | Gianni Franchi, Jess Angulo, Dino Sejdinovic |
| 2016 | ICML | DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression. | Jovana Mitrovic, Dino Sejdinovic, Yee Whye Teh |
| 2016 | UAI | Bayesian Learning of Kernel Embeddings. | Seth R. Flaxman, Dino Sejdinovic, John P. Cunningham, Sarah Filippi |
| 2016 | UAI | Super-Sampling with a Reservoir. | Brooks Paige, Dino Sejdinovic, Frank D. Wood |
| 2015 | UAI | Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages. | Wittawat Jitkrittum, Arthur Gretton, Nicolas Heess, S. M. Ali Eslami, Balaji Lakshminarayanan, Dino Sejdinovic, Zoltn Szab |
| 2014 | ICML | Kernel Adaptive Metropolis-Hastings. | Dino Sejdinovic, Heiko Strathmann, Maria Lomeli Garcia, Christophe Andrieu, Arthur Gretton |
| 2012 | ICASSP | Approximate message passing under finite alphabet constraints. | Andreas Mller, Dino Sejdinovic, Robert J. Piechocki |
| 2012 | ICML | Hypothesis testing using pairwise distances and associated kernels. | Dino Sejdinovic, Arthur Gretton, Bharath K. Sriperumbudur, Kenji Fukumizu |
| 2009 | ITW | AND-OR tree analysis of distributed LT codes. | Dino Sejdinovic, Robert J. Piechocki, Angela Doufexi |
| 2008 | GLOBECOM | Rate Adaptive Binary Erasure Quantization with Dual Fountain Codes. | Dino Sejdinovic, Robert J. Piechocki, Angela Doufexi, Mohamed Ismail |
| 2008 | WCNC | The Throughput Analysis of Different IR-HARQ Schemes Based on Fountain Codes. | Dino Sejdinovic, Vishakan Ponnampalam, Robert J. Piechocki, Angela Doufexi |